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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Yuan Xie

This inventor holds 20 USPTO granted patents and 2 published patent applications, primarily in Neural Network Optimization. Top assignees: Alibaba Group Holding Limited, University of Michigan, Alibaba (China) Co., Ltd.. Active years: 2005-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuan Xie. Retrieved from https://idiyas.com/inventor/yuan-xie

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 20 

% Patents Active = 80.0

Average Co-Inventor Count = 3.9

ph-index = 3

Forward Citations = 58(Granted Patents)


Location History:

  • Ann Arbor, MI (US) (2005 - 2006)
  • Hangzhou, CN (2021 - 2022)
  • Sunnyvale, CA (US) (2009 - 2024)
  • San Mateo, CA (US) (2022 - 2024)

Company Filing History:

goldMedal15 out of 2,425 
 
Alibaba Group Holding Limited
 patents
silverMedal3 out of 3,536 
 
University of Michigan
 patents
bronzeMedal1 out of 25 
 
Alibaba (China) Co., Ltd.
 patents
4. 1 out of 22 
 
Alibaba Innovation Private Limited
 patents

Years Active: 2005-2026

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Areas of Expertise:
Neural Network
Privacy Calculation
Multi-Task Learning
Matrix Multiplication
Accelerator Architecture
Sparse Neural Networks
Micromechanical Structures
Artificial Intelligence
Vector Registers
Dynamic Gating
Block-Wise Sparsity
Segmentation Models
20 patents (USPTO):Explore Patents
1. 12731026 - Method and system for program sampling using neural network (2026-09-08),
2. 12726330 - Privacy calculation unit, acceleration unit, system on chip, and privacy calculation method (2026-09-01),
3. 12190245 - Multi-task segmented learning models (2025-01-07),
4. 12141699 - Systems and methods for providing vector-wise sparsity in a neural network (2024-11-12),
5. 12073317 - Method and system for processing a neural network (2024-08-27),
6. 11947821 - Methods and systems for managing an accelerator's primary storage unit (2024-04-02),
7. 11921814 - Method and device for matrix multiplication optimization using vector registers (2024-03-05),
8. 11915138 - Method and device for reducing a size of a neural network model (2024-02-27),
9. 11900239 - Systems and methods for accelerating sparse neural network execution (2024-02-13),
10. 11816574 - Structured pruning for machine learning model (2023-11-14),
11. 11755903 - Systems and methods for providing block-wise sparsity in a neural network (2023-09-12),
12. 11625341 - Narrow DRAM channel systems and methods (2023-04-11),
13. 11409684 - Processing accelerator architectures (2022-08-09),
14. 11403783 - Techniques to dynamically gate encoded image components for artificial intelligence tasks (2022-08-02),
15. 11366875 - Method and device for matrix multiplication optimization using vector registers (2022-06-21),

Title: The Innovative Journey of Yuan Xie

Introduction: Yuan Xie, a distinguished inventor based in Sunnyvale, CA, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents: Yuan Xie's latest patents include cutting-edge advancements in semiconductor technology, artificial intelligence, and data storage solutions, solidifying his reputation as a pioneer in the industry.

Career Highlights: With a career spanning over two decades, Yuan Xie has held key positions in renowned tech companies, leading research teams and driving innovation forward. His work has been instrumental in shaping the future of the tech landscape.

Collaborations: Yuan Xie has collaborated with top researchers, engineers, and industry experts to bring his ideas to life. His ability to work seamlessly in multidisciplinary teams has led to the successful development of revolutionary technologies.

Conclusion: Yuan Xie's passion for innovation, coupled with his relentless drive to push boundaries, has established him as a trailblazer in the world of technology. His work continues to inspire and pave the way for future generations of inventors.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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